Using mixed goal programming to optimize performance of extrusion process for multiple responses of irrigation pipes

Al–Refaie, Abbas; Musallam, Ahmad

doi:10.1177/0954408918781624

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…Mengistie [16] studied different defects that arise during the plastic extrusion of UPVC pipe using the Taguchi technique and reported feed speed and mixing temperature as significant factors that help reduce the scrap to 11.36% from 20%. Similar results were also reported by Al-Refaie and Bata [17] while optimising the UPVC pipe weight using fuzzy logic. Tang [18] studied the moulding performance of UPVC pipe using the Moldflow platform, which can help in achieving better product quality.…”

Section: Introductionsupporting

confidence: 87%

Weight Optimization of Plastic Injection Moulded Electrical Wire Casing Thermoplastic using Hybrid RSM-Tunicate Swarm Algorithm

Barua,

Jeet,

Mishra

et al. 2023

E3S Web Conf.

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The need for fire-retardant material for electrical wire covers and cases is increasing as the global population continues to expand at an alarming rate. In addition to having good fire and chemical resistance, CPVC (chlorinated polyvinyl chloride) is widely accessible in a assortment of forms and sizes, comprising rods, sheets, and tubes. Plastic injection moulding (PIM) provides a method that allows for the production of CPVC items at a rapid pace and at a low cost. When these mouldings are lightweight, they may reduce the amount of non-biodegradable materials that are used in their construction. The present research gives an insight into the CPVC material moulding for electrical wire casing elbows using an injection moulding machine, which was previously unexplored. Four plastic injection moulding parameters were considered in order to reduce the weight of the elbow, including injection pressure, mould closing speed, mould pressure, and backpressure. The 27 tests were piloted in line with Response Surface Methodbased Box-Behnken Design, and the factors were optimised using Tunicate Swarm Algorithm, which was recently developed. In the case of the plastic injection-moulded item, the analysis of variance revealed that the most significant parameter in the weight reduction was the material used. It has been determined that mould pressure is the most critical factor impacting the weight of the item when it is manufactured. As a result, the optimum manufacture of injection-moulded CPVC components will be facilitated, resulting in optimised weight while also minimising production time and raw material waste for electrical wire casing.

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Section: Introductionsupporting

confidence: 87%

Weight Optimization of Plastic Injection Moulded Electrical Wire Casing Thermoplastic using Hybrid RSM-Tunicate Swarm Algorithm

Barua,

Jeet,

Mishra

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…As extrusões poliméricas tem várias funções e aplicações, desde aplicações hospitalares e farmacêuticas (HYVÄRINEN;JABEEN;KÄRKI, 2020), aplicações no setor de óleo e gás, como o transporte de gás e fluídos, na exploração de petróleo e contatos de bases com veículos submarinos na fabricação de umbilicais (RUTHERFORD; DOBSON, 2017), e até mesmo usos mais simples como transportar água na jardinagem e agricultura, na limpeza de casa e de veículos automotores.…”

Section: Introductionunclassified

Seleção E Desenvolvimento De Ferramental Para Extrusão De Mangueiras De Poliamida Utilizando a Análise De Capacidade Do Processo

Siqueira¹,

Vieira²,

Silva³

et al. 2023

Anais Do Congresso Internacional De Engenharia Mecânica E Industrial

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Optimization of process performance by multiple pentagon fuzzy responses: Case studies of wire-electrical discharge machining and sputtering process

Al–Refaie¹,

Lepkova²,

Abbasi³

et al. 2020

Adv produc engineer manag

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This research developed mathematical models to optimize process performance for multiple pentagon fuzzy quality responses. Initially, each quality response was represented by a pentagon membership function. Then, the combination of optimal factor levels was obtained for each response replicate. Those optimal combinations were then used to construct pentagon regression models for each response. A pentagon fuzzy optimization model was formulated and solved to determine the combination of optimal factor levels at each element of pentagon response's fuzzy number. Two real case studies, i.e. wireelectrical discharge machining and sputtering process, were provided for illustration. Optimal results of the two case studies revealed that the proposed procedure effectively optimized performance under uncertainty and provided larger improvement in multiple quality characteristics. In conclusion, the proposed procedure may enhance the process engineer's knowledge about effects of uncertainty on process/product performance and help practitioners decide the proper adjustments of factor levels in order to enhance performance of electrical discharge machining and sputtering process.

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Using mixed goal programming to optimize performance of extrusion process for multiple responses of irrigation pipes

Cited by 4 publications

References 27 publications

Weight Optimization of Plastic Injection Moulded Electrical Wire Casing Thermoplastic using Hybrid RSM-Tunicate Swarm Algorithm

Weight Optimization of Plastic Injection Moulded Electrical Wire Casing Thermoplastic using Hybrid RSM-Tunicate Swarm Algorithm

Seleção E Desenvolvimento De Ferramental Para Extrusão De Mangueiras De Poliamida Utilizando a Análise De Capacidade Do Processo

Optimization of process performance by multiple pentagon fuzzy responses: Case studies of wire-electrical discharge machining and sputtering process

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